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147
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CVIU
2002
111views more  CVIU 2002»
15 years 5 months ago
Interactive Content-Based Image Retrieval Using Relevance Feedback
Sean D. MacArthur, Carla E. Brodley, Avinash C. Ka...
178
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CIVR
2005
Springer
156views Image Analysis» more  CIVR 2005»
15 years 11 months ago
Content-Based Object Movie Retrieval by Use of Relevance Feedback
Abstract. Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can ...
Li-Wei Chan, Cheng-Chieh Chiang, Yi-Ping Hung
CISST
2004
164views Hardware» more  CISST 2004»
15 years 7 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
JMLR
2010
141views more  JMLR 2010»
15 years 22 days ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
222
Voted
ICTIR
2009
Springer
16 years 15 days ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...